The development of automotive technology has become increasingly important for preventing car accidents. Hence, as a basic research of driver assistance systems, a novel control method has been proposed for steering support. In particular, the stability and limitation of such a system is investigated for the safe and comfortable drive. First, the particle swarm optimisation (PSO)-based algorithm is used to search the optimal feedback gain under practical constraints for achieving tracking control. Moreover, to reduce the convergence time further, the PSO algorithm is combined with the technique of quantum computing. Simulation results indicate that the proposed feedback controller based on quantum PSO has the ability to provide efficient computational performance for trajectory tracking and stabilisation.


    Access

    Access via TIB


    Export, share and cite



    Title :

    Quantum particle swarm optimisation algorithm for feedback control of semi-autonomous driver assistance systems


    Contributors:

    Published in:

    Publication date :

    2014-11-01


    Size :

    13 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




    Quantum particle swarm optimisation algorithm for feedback control of semi‐autonomous driver assistance systems

    Chang, Che‐Cheng / Tsai, Jichiang / Pei, Shi‐Jia | Wiley | 2014

    Free access

    Hybrid particle swarm optimisation algorithm for image segmentation

    Zhang,J. / Lu,J. / Li,H. et al. | Automotive engineering | 2012


    Autonomous Car Driver Assistance System

    Annamalai, R. / Sudha Mercy, S. / Mathana, J. M. et al. | Wiley | 2024


    Autonomous Vehicles and Advanced Driver Assistance

    KRISHNAN ASHOK | European Patent Office | 2024

    Free access

    DRIVER ASSISTANCE SYSTEM FOR AUTONOMOUS VEHICLE

    FENDT GUNTER ANTON | European Patent Office | 2021

    Free access